A generic approach to implementing finite-set model predictive control with a fixed switching frequency

This paper presents a generic approach to practically implementing a finite-set model predictive control strategy with a fixed switching frequency for high sampling rates. With conventional FS-MPC methods, the equations for describing the predictions of the controlled variables are derived specifically for each given topology. In this paper, a more generic approach is presented by using established state space control theory to develop a method for modelling and implementing an arbitrary topology. Numerical methods and the use of a symbolic computational toolbox is used for the calculation of off-line prediction equations and using a lookup table to reduce on-line computation time. An implementation scheme for an FPGA is discussed and experimental results are provided to confirm a successful design.